J. David Vega

554 citations
11 papers · 391 indexed · h-index 9

J. David Vega

11 papers receiving 385 citations

Peers

J. David Vega
Comparison fields: 5 of 44
  • Cardiology and Cardiovascular Medicine 254
  • Pulmonary and Respiratory Medicine 160
  • Internal Medicine 17
  • Critical Care and Intensive Care Medicine 23
  • Transplantation 10
Replace Gregory S. Matte with:
Gregory S. Matte United States
Thomas Sénage France
Giovanni Speziali United States
Ragi Nagib Germany
Richard N. Gates United States
P Mikaéloff France
Antonio Scafuri Italy
Martin H. Bernardi Austria
A Schüetz Germany
Frazier Eales United States
J. David Vega relative to Gregory S. Matte United States Gregory S. Matte's profile →
Citations per field
00.5×1.7×
Gregory S. Matte · 1×
Citations per year

Countries citing papers authored by J. David Vega

Since Specialization
Citations

This map shows the geographic impact of J. David Vega's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. David Vega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. David Vega more than expected).

Fields of papers citing papers by J. David Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. David Vega. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. David Vega. The network helps show where J. David Vega may publish in the future.

Co-authorship network

The 25 scholars most cited alongside J. David Vega, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. David Vega Line = papers co-authored together J. David Vega links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201522
2 20141
3 201185
4 201125
5 201143
6 201090
7 201020
8 200929
9 200437
10 199335
11
Reevaluation of steroid tapering after steroid pulse therapy for heart rejection.
19924

About J. David Vega

J. David Vega is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 391 indexed citations. Recurring topics across this work include Cardiac Structural Anomalies and Repair (5 papers), Mechanical Circulatory Support Devices (4 papers), Aortic Disease and Treatment Approaches (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Transplantation: Methods and Outcomes (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Infective Endocarditis Diagnosis and Management (2 papers) and Pulmonary Hypertension Research and Treatments (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (254 citations), Pulmonary and Respiratory Medicine (160 citations) and Internal Medicine (17 citations). J. David Vega has collaborated with scholars based in United States and Japan. Frequent co-authors include Robert A. Guyton, Patrick D. Kilgo, John D. Puskas, Vinod H. Thourani, Edward P. Chen, Richard J. Myung, Edward P. Chen, Omar M. Lattouf, Cullen D. Morris and Thomas A. Vassiliades. Their work appears in journals such as The Annals of Thoracic Surgery, American Journal of Transplantation and Journal of Cardiac Failure.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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